Can Stress Put Digital Privacy at Risk? Evidence from a Controlled Experiment Examining the Impact of Acute Stress on Privacy Decisions on a Simulated Social Network Site.

Internet and Communication Technologies (ICTs) can foster efficient communication and knowledge acquisition, but there are also tradeoffs in terms of risks to one's privacy. Previous research, including work with the privacy calculus framework, indicates that factors such as perceived risks and benefits of using ICTs, ICT trust, and general privacy concerns can influence individuals' digital privacy-related decisions. One pervasive psychological factor that may potentially alter such privacy-related behaviors is acute stress. Acute stress can promote risk-seeking behaviors and a tendency to prefer immediate rewards over delayed, greater value rewards. However, the effect of acute stress in the applied context of privacy decision making is relatively unknown. Participants (N = 143) in this study were randomly assigned to either an acute stress task (socially evaluated cold pressor task) or an active control task (lukewarm water alone). Results revealed that acute stress condition increased information disclosure, as indexed by accepting more online cookies, sharing one's location more frequently, and revealing greater willingness to self-disclose personal information. In addition, the impact of individuals' levels of perceived risk and benefits, trust, and privacy concern on privacy decision making was examined. However, none of these constructs consistently influenced privacy decisions over and above the effect of stress. Overall, our findings suggest that acute stress has robust, independent influence on privacy decision making.

Recovery Barrier Characterizations by Hospitalized Patients with Substance Use Disorders: Results from a Randomized Clinical Study on Inpatient Peer Recovery Coaching.

Patients hospitalized with medical complications from substance use disorder (SUD) encounter unique health problems that may complicate their recovery. Recovery barriers are not well understood in this population. The study objective is to characterize recovery barriers in this patient population. Participants (n = 96) in this six-month longitudinal study were randomized to a peer recovery coaching intervention or standard of care. The primary outcome measures were qualitative, open-ended questions addressing factors interfering with participants' recovery. Data were analyzed using content analysis. Themes were identified a priori using past research on recovery capital domains; these seven barriers were (1) psychological health difficulties, (2) physical health challenges, (3) lack of social support, (4) insufficient treatment or recovery support to maintain sobriety, (5) environmental and housing concerns, (6) deficits in coping skills, and (7) lack of meaningful activities. At baseline, the most common recovery barriers were in the environment and housing (28.1%), psychological health (27.1%), and social support (22.9%) domains. At six-month follow-up, participants were asked to describe barriers they felt they had made improvement in over the last six months. The primary themes that participants reported improvements in were treatment and recovery support to maintain sobriety (52.1%), coping skills (35.4%), and social support (27.1%). Hospitalization and participation in a randomized controlled trial may be a turning point in which to address recovery barriers for patients hospitalized with complications from SUD.

Preliminary Evidence of the Association between Time on Buprenorphine and Cognitive Performance among Individuals with Opioid Use Disorder Maintained on Buprenorphine: A Pilot Study.

People on buprenorphine maintenance treatment (BMT) commonly present cognitive deficits that have been associated with illicit drug use and dropout from buprenorphine treatment. This study has compared cognitive responses to the Stroop Task and the Continuous Performance Task (CPT) among individuals on BMT, with recent drug use, and healthy controls and explored the associations between cognitive responses and drug use, craving, and buprenorphine use among participants on BMT. The participants were 16 individuals on BMT and 23 healthy controls. All participants completed a 60 min laboratory session in which they completed the Stroop Task and the CPT, a saliva drug test, a brief clinical history that collected substance-use- and treatment-related information, and the Opioid Craving Scale. The results showed that the BMT participants presented more commission errors (MBMT participants = 2.49; Mhealthy controls = 1.38; p = 0.048) and longer reaction times (MBMT participants = 798.09; Mhealthy controls = 699.09; p = 0.047) in the Stroop Task than did the healthy controls. More days on buprenorphine were negatively associated with reaction time in the CPT (-0.52) and the number of commission errors (-0.53), simple reaction time (-0.54), and reaction time correct (-0.57) in the Stroop Task. Neither drug use nor craving was significantly associated with the results for the cognitive tasks. Relative to the control participants, the BMT individuals performed worse in terms of longer reaction times and more commission errors in the Stroop Task. Within the BMT participants, longer times on buprenorphine were associated with better cognitive results in terms of faster reaction times for both tasks and lower commission errors for the Stroop Task.

Development and initial findings from the Peer Recovery Coach (PRC) checklist: a new tool to assess the nature of peer recovery coaching service delivery.

Background: Peer recovery coaching is recovery support service for Substance Use Disorder (SUD) that emphasizes shared lived experience and social support. Though a promising intervention for SUD, differences in the roles, responsibilities, and operationalization of peer recovery coaching across studies make objective implementation and evaluation of this service a challenge.Objective: This study sought to develop a tool to better guide and operationalize peer recovery coaching service delivery. This study describes the initial development, acceptability, feasibility, and validity of this tool: The PRC Checklist.Methods: The PRC Checklist was conceptualized and operationalized by drawing from social support theory and recovery capital research. The PRC Checklist was utilized by PRCs in a pilot randomized controlled trial to demonstrate feasibility and acceptability. To further validate the PRC Checklist, recovery coaches (N = 16; 56% female) were recruited to complete a survey about their responsibilities and their perspectives on the content and potential utility of the PRC Checklist.Results: The PRC checklist used in the pilot study delineates personalized from generalized support and tracks 25 specific activities across three domains of support (i.e. socioemotional, informational, and instrumental). PRCs in the pilot study were able to use the PRC Checklist in all in-person initial baseline encounters and 96.4% of follow-up encounters. Qualitative information collected during project meetings was generally positive but also identified potential limitations to its use. All PRCs surveyed reported that they agreed that the PRC Checklist was helpful, encompassed the services they provided, represented a good idea, provided meaningful information, and would be easy to use. All five of the most common activities PRCs engaged in were reflected in the PRC Checklist.Conclusion: Capturing both personal and generalized support provided by PRCs, this work suggests that the PRC Checklist captures key activities engaged in and is a helpful tool for use in healthcare settings.

Age Differences in Prosocial Behavior Depend on Effort Costs.

OBJECTIVES: This study examined age differences in willingness to engage in effortful and effortless prosocial behavior for a fully anonymous recipient. METHOD: Participants were recruited through the Prolific online recruitment platform. In Experiment 1, older (N = 46) and younger (N = 65) adults completed the "pay-it-forward" effortful decision-making task with fixed effort demands and a version of the Dictator Game, an effortless prosocial decision-making task. In Experiment 2, older (N = 38) and younger (N = 42) adults completed the Dictator Game and a modified pay-it-forward decision-making task in which effort demands were calibrated to one's ability. RESULTS: In both Experiments 1 and 2, older adults were more prosocial than younger adults on the effortless Dictator Game. In Experiment 1, older adults were less prosocial across all trials of the effortful pay-it-forward task. However, when the task was more achievable in Experiment 2, older adults were only less prosocial when the probability of a reward was low. DISCUSSION: In everyday life, many prosocial contexts depend on effort expenditure. When prosocial activities are effortful, older adults are less willing to engage in prosocial behavior, particularly when reward likelihood is low, and instead focus on resource conservation. In the absence of such effort costs, older adults are more prosocial than younger adults. This work suggests that older adults may prefer to engage in prosocial behavior more than younger adults, but physical resource constraints may limit their ability to engage in such effortful prosocial activities.

Effects of short-term nicotine deprivation on delay discounting among young, experienced, exclusive ENDS users: An initial study.

Delay discounting describes how rapidly delayed rewards lose value as a function of delay and serves as one measure of impulsive decision-making. Nicotine deprivation among combustible cigarette smokers can increase delay discounting. We aimed to explore changes in discounting following nicotine deprivation among electronic nicotine delivery systems (ENDS) users. Thirty young adults (aged 18-24 years) that exclusively used ENDS participated in two laboratory sessions: one with vaping as usual and another after 16 hr of nicotine deprivation (biochemically assessed). At each session, participants completed a craving measure and three hypothetical delay discounting tasks presenting choices between small, immediate rewards and large, delayed ones (money-money; e-liquid-e-liquid; e-liquid-money). Craving for ENDS significantly increased during short-term nicotine deprivation relative to normal vaping. Delay discounting rates in the e-liquid now versus money later task increased (indicating a shift in preference for smaller, immediate rewards) following short-term nicotine deprivation relative to vaping as usual, but no changes were observed in the other two discounting tasks. Short-term nicotine deprivation increased the preference for smaller amounts of e-liquid delivered immediately over larger, monetary awards available after a delay in this first study of its kind. As similar preference shifts for drug now versus money later have been shown to be indicative of increased desire to use drug as well as relapse risk, the findings support the utility of the current model as a platform to explore interventions that can mitigate these preference shifts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining Internalizing Mental Health Correlates of Addiction Severity in Patients Hospitalized With Medical Complications From Substance Use Disorder.

Background: Comorbidities between Substance Use Disorder (SUD) and mental health disorders are highly prevalent, yet there remains a lack of information regarding how mental health conditions may affect addiction severity. Consequently, this study sought to investigate the relationship between internalizing disorders (anxiety and mood disorders) and addiction severity in patients hospitalized for SUD-related medical complications. Individual difference predictors and history of prior treatment for SUD were also examined. Methods: Participants (N = 200) were hospitalized patients who consented to receive peer-based recovery support services for their SUD. To be eligible for the study, participants needed to have a SUD diagnosis due to alcohol, opioids, methamphetamine, cocaine, or a combination of these substances (polysubstance use). Participants completed self-report questionnaires regarding demographics, mental health history, prior SUD treatment, and addiction severity (Drug and Alcohol Screening Test; DAST-10) during their hospitalization. Results: Results showed that patients with Generalized Anxiety Disorder (GAD) (M = 6.68, SD = 2.97) had greater addiction severity compared to those without GAD (M = 5.41, SD = 3.34), P = .016. Addiction severity results stratified by SUD type showed that the relationship was significant among patients with Alcohol Use Disorder (P = .014), but not among those with other SUD types (Ps > .27). Major Depressive Disorder (MDD) and Post-Traumatic Stress Disorder (PTSD) were not linked to addiction severity. Among those with GAD, 81.4% had previously been to treatment compared to only 53.1% of those without GAD, P = .010. The only participant characteristic linked with addiction severity was insurance status. Conclusions: GAD may represent a risk factor for advanced alcohol addiction trajectories, including greater addiction severity and severe health complications requiring inpatient hospitalization.

The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial.

BACKGROUND: Mental health apps have shown promise in improving mental health symptoms, including depressive symptoms. However, limited research has been aimed at understanding how specific app features and designs can optimize the therapeutic benefits and adherence to such mental health apps. OBJECTIVE: The primary purpose of this study is to investigate the effect of avatar customization on depressive symptoms and adherence to use a novel cognitive behavioral therapy (CBT)-based mental health app. The secondary aim is to examine whether specific app features, including journaling, mood tracking, and reminders, affect the usability of the mental health app. METHODS: College students were recruited from a university study recruitment pool website and via flyer advertisements throughout campus. A total of 94 participants completed a randomized controlled trial in which they were randomized to either customization or no customization version of the app. Customization involved personalizing a virtual avatar and a travel vehicle to one's own preferences and use of one's name throughout the app. Participants completed a 14-day trial using a novel CBT-based mental health app called AirHeart. Self-report scores for depressive symptoms, anxiety, and stress were measured at baseline and after the intervention. Postintervention survey measures also included usability and avatar identification questionnaires. RESULTS: Of the 94 enrolled participants, 83 (88%) completed the intervention and postintervention assessments. AirHeart app use significantly reduced symptoms of depression (P=.006) from baseline to the end of the 2-week intervention period for all participants, regardless of the customization condition. However, no differences in depressive symptoms (P=.17) or adherence (P=.80) were observed between the customization (39/83, 47%) and no customization (44/83, 53%) conditions. The frequency of journaling, usefulness of mood tracking, and helpfulness of reminders were not associated with changes in depressive symptoms or adherence (P>.05). Exploratory analyses showed that there were 3 moderate positive correlations between avatar identification and depressive symptoms (identification: r=-0.312, P=.02; connection: r=-0.305, P=.02; and lack of relatability: r=0.338, P=.01). CONCLUSIONS: These results indicate that CBT mental health apps, such as AirHeart, have the potential to reduce depressive symptoms over a short intervention period. The randomized controlled trial results demonstrated that customization of app features, such as avatars, does not further reduce depressive symptoms over and above the CBT modules and standard app features, including journal, reminders, and mood tracking. However, further research elucidating the relationship between virtual avatar identification and mental health systems is needed as society becomes increasingly more digitized. These findings have potential implications for improving the optimization of mental health app designs. TRIAL REGISTRATION: Open Science Framework t28gm; https://osf.io/t28gm.

Effects of categorical and numerical feedback on category learning.

Real-world learning signals often come in the form of a continuous range of rewards or punishments, such as receiving more or less money or other reward. However, in laboratory studies, feedback used to examine how humans learn new categories has almost invariably been categorical in nature (i.e. Correct/Incorrect, or A/Not-A). Whether numerical or categorical feedback leads to better learning is an open question. One possibility is that numerical feedback could give more fine-grained information about a category. Alternatively, categorical feedback is more dichotomous, potentially leading to larger error signals. Here we test how feedback impacts category learning by having participants learn to categorize novel line stimuli from either numerical, categorical, or a combination of both types of feedback. Performance was better for categorical relative to the more variable numerical feedback. However, participants were able to learn to effectively categorize from numerical feedback, and providing larger numerical rewards for easier, more representative stimuli was more successful in promoting learning than providing larger rewards for harder to classify stimuli. Simulations and fits of a connectionist model to participants' performance data suggest that categorical feedback promotes better learning by eliciting larger prediction errors than numerical feedback.

Identifying Racial and Rural Disparities of Cognitive Functioning Among Older Adults: The Role of Social Isolation and Social Technology Use.

OBJECTIVES: Social isolation is associated with poorer cognitive outcomes among older adults. The use of online social technology platforms may provide a means to reduce social isolation. However, research examining whether social technology can mitigate the negative effects of social isolation on cognitive functioning is limited. This study investigates the interaction between social isolation and social technology use on cognitive functioning among older adults and seeks to identify racial and rural-urban differences in this relationship. METHOD: Data were obtained from the Health and Retirement Study 2014-2018 waves (N = 5,358). Participants (aged 50-102) completed self-report measures of social isolation, loneliness, and frequency of online social communication and completed the modified Telephone Interview for Cognitive Status, which assesses cognitive functioning. Examinations of race focused on differences between Black/African American and White/Caucasian groups; rurality was operationalized using Beale Rural-Urban Continuum Codes. Data were analyzed using structural equation models. RESULTS: Social technology use moderated the negative relationship between social isolation and cognitive functioning, controlling for age, education, gender, wealth, and general computer usage. Greater social technology use was associated with better cognitive functioning among socially isolated older adults. Results showed evidence of racial, but not rural-urban, differences in the relationship between social technology use and cognitive functioning. Regardless of the degree of social isolation, frequent social technology use was associated with improved cognitive functioning in Black/African American older adults but not White/Caucasians older adults. DISCUSSION: Social technology may represent a way to mitigate cognitive decline, particularly among Black/African American older adults.

Acute Care Utilization After Recovery Coaching Linkage During Substance-Related Inpatient Admission: Results of Two Randomized Controlled Trials.

BACKGROUND: For patients with substance use disorder (SUD), a peer recovery coach (PRC) intervention increases engagement in recovery services; effective support services interventions have occasionally demonstrated cost savings through decreased acute care utilization. OBJECTIVE: Examine effect of PRCs on acute care utilization. DESIGN: Combined results of 2 parallel 1:1 randomized controlled trials. PARTICIPANTS: Inpatient adults with substance use disorder INTERVENTIONS: Inpatient PRC linkage and follow-up contact for 6 months vs usual care (providing contact information for SUD resources and PRCs) MAIN MEASURES: Acute care encounters (emergency and inpatient) 6 months before and after enrollment; encounter type by primary diagnosis code category (mental/behavioral vs medical); 30-day readmissions with Lace+ readmission risk scores. KEY RESULTS: A total of 193 patients were randomized: 95 PRC; 98 control. In the PRC intervention, 66 patients had a pre-enrollment acute care encounter and 56 had an encounter post-enrollment, compared to the control group with 59 pre- and 62 post-enrollment (odds ratio [OR] = -0.79, P = 0.11); there was no significant effect for sub-groups by encounter location (emergency vs inpatient). There was a significant decrease in mental/behavioral ED visits (PRC: pre-enrollment 17 vs post-enrollment 10; control: pre-enrollment 13 vs post-enrollment 16 (OR = -2.62, P = 0.02)) but not mental/behavioral inpatient encounters or medical emergency or inpatient encounters. There was no significant difference in 30-day readmissions corrected for Lace+ scores (15.8% PRC vs 17.3% control, OR = 0.19, P = 0.65). CONCLUSIONS: PRCs did not decrease overall acute care utilization but may decrease emergency encounters related to substance use. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04098601, NCT04098614).

Examining the relationship between substance use and exploration-exploitation behavior in young adults.

Substance use is characterized by reward processing dysregulation and cognitive control deficits. One area of research that remains relatively unexplored is the relationship between substance use and exploration-exploitation trade-offs, which involve a continuum from switching (exploration) to perseverative (exploitation). In dynamic, volatile environments, exploitation of well-known options can lead to habit-driven perseveration, and exploration of new opportunities can produce new information that may enhance one's future state. The primary aim was to investigate the relationship between regular substance use and spontaneous eyeblink rate (EBR) on exploration-exploitation behavior. Young adults (N = 83) aged 18-23 completed a single laboratory session. A dynamic foraging task was used to characterize exploration/exploitation behavior. Substance use was defined using the Externalizing Spectrum Inventory-Brief Form. Dopamine levels were operationalized using spontaneous EBR. The primary outcome was proportion of switch choices on the foraging task, which reflects a continuum of exploitation (low values) to exploration (high values) behavior. A linear mixed-effects regression was conducted to examine the effect of substance use and EBR on the proportion of switch trials. Results demonstrated a significant negative interaction between substance use and EBR on proportion of switch trials (p < .001). Participants with regular substance use and low EBR showed decreased switch choices, indicative of increased exploitation, compared to those with higher EBR. EBR was positively associated with proportion of switch trials (p = .032) and thus greater exploration. The relationship between substance use and increased exploitation in young adults appears specific to those with low EBR. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis.

BACKGROUND: Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health apps incorporate gamification into their app design, yet it is unclear whether features differ in their effectiveness to reduce depressive symptoms over and above mental health apps without gamification. OBJECTIVE: The aim of this study was to determine whether mental health apps with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those that lack these elements. METHODS: A meta-analysis of studies that examined the effect of app-based therapy, including cognitive behavioral therapy, acceptance and commitment therapy, and mindfulness, on depressive symptoms was performed. A total of 5597 articles were identified via five databases. After screening, 38 studies (n=8110 participants) remained for data extraction. From these studies, 50 total comparisons between postintervention mental health app intervention groups and control groups were included in the meta-analysis. RESULTS: A random effects model was performed to examine the effect of mental health apps on depressive symptoms compared to controls. The number of gamification elements within the apps was included as a moderator. Results indicated a small to moderate effect size across all mental health apps in which the mental health app intervention effectively reduced depressive symptoms compared to controls (Hedges g=-0.27, 95% CI -0.36 to -0.17; P<.001). The gamification moderator was not a significant predictor of depressive symptoms (ß=-0.03, SE=0.03; P=.38), demonstrating no significant difference in effectiveness between mental health apps with and without gamification features. A separate meta-regression also did not show an effect of gamification elements on intervention adherence (ß=-1.93, SE=2.28; P=.40). CONCLUSIONS: The results show that both mental health apps with and without gamification elements were effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health apps with gamification elements on depressive symptoms or adherence. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health apps on depressive symptoms.

Examining Rural and Racial Disparities in the Relationship Between Loneliness and Social Technology Use Among Older Adults.

Loneliness, the subjective negative experience derived from a lack of meaningful companionship, is associated with heightened vulnerability to adverse health outcomes among older adults. Social technology affords an opportunity to cultivate social connectedness and mitigate loneliness. However, research examining potential inequalities in loneliness is limited. This study investigates racial and rural-urban differences in the relationship between social technology use and loneliness in adults aged 50 and older using data from the 2016 wave of the Health and Retirement Study (N = 4,315). Social technology use was operationalized as the self-reported frequency of communication through Skype, Facebook, or other social media with family and friends. Loneliness was assessed using the UCLA Loneliness scale, and rural-urban differences were based on Beale rural-urban continuum codes. Examinations of race focused on differences between Black/African-American and White/Caucasian groups. A path model analysis was performed to assess whether race and rurality moderated the relationship between social technology use and loneliness, adjusting for living arrangements, age, general computer usage. Social engagement and frequency of social contact with family and friends were included as mediators. The primary study results demonstrated that the association between social technology use and loneliness differed by rurality, but not race. Rural older adults who use social technology less frequently experience greater loneliness than urban older adults. This relationship between social technology and loneliness was mediated by social engagement and frequency of social contact. Furthermore, racial and rural-urban differences in social technology use demonstrated that social technology use is less prevalent among rural older adults than urban and suburban-dwelling older adults; no such racial differences were observed. However, Black older adults report greater levels of perceived social negativity in their relationships compared to White older adults. Interventions seeking to address loneliness using social technology should consider rural and racial disparities.

Examining the effect of depressive symptoms on habit formation and habit-breaking.

BACKGROUND AND OBJECTIVES: Dysfunction in reward processing is a hallmark feature of depression. In the context of reinforcement learning, previous research has linked depression with reliance on simple habit-driven ('model-free') learning strategies over more complex, goal-directed ('model-based') strategies. However, the relationship between depression and habit-breaking remains an under-explored research area. The current study sought to bridge this gap by investigating the effect of depressive symptoms on habit formation and habit-breaking under monetary and social feedback conditions. Additionally, we examined whether spontaneous eyeblink rate (EBR), an indirect marker for striatal dopamine levels, would modulate such effects. METHODS: Depressive symptoms were operationalized using self-report measures. To examine differences in habit formation and habit breaking, undergraduate participants (N = 156) completed a two-stage reinforcement learning task with a devaluation procedure using either monetary or social feedback. RESULTS: Regression results showed that in the monetary feedback condition, spontaneous EBR moderated the relationship between depressive symptoms and model-free strategies; individuals with more depressive symptomatology and high EBR (higher dopamine levels) exhibited increased reliance on model-free strategies. Depressive symptoms negatively predicted devaluation sensitivity, indicative of difficulty in habit-breaking, in both monetary and social feedback contexts. LIMITATIONS: Social feedback relied on fixed feedback rather than real-time peer evaluations; depressive symptoms were measured using self-report rather than diagnostic criteria for Major Depressive Disorder; dopaminergic functioning was measured using EBR rather than PET imaging; potential confounds were not controlled for. CONCLUSIONS: These findings have implications for identifying altered patterns of habit formation and deficits in habit-breaking among those experiencing depressive symptoms.

Risk-taking unmasked: Using risky choice and temporal discounting to explain COVID-19 preventative behaviors.

To reduce the spread of COVID-19 transmission, government agencies in the United States (US) recommended precautionary guidelines, including wearing masks and social distancing to encourage the prevention of the disease. However, compliance with these guidelines has been inconsistent. This correlational study examined whether individual differences in risky decision-making and motivational propensities predicted compliance with COVID-19 preventative behaviors in a sample of US adults (N = 404). Participants completed an online study from September through December 2020 that included a risky choice decision-making task, temporal discounting task, and measures of appropriate mask-wearing, social distancing, and perceived risk of engaging in public activities. Linear regression results indicated that greater temporal discounting and risky decision-making were associated with less appropriate mask-wearing behavior and social distancing. Additionally, demographic factors, including personal experience with COVID-19 and financial difficulties due to COVID-19, were also associated with differences in COVID-19 preventative behaviors. Path analysis results showed that risky decision-making behavior, temporal discounting, and risk perception collectively predicted 55% of the variance in appropriate mask-wearing behavior. Individual differences in general decision-making patterns are therefore highly predictive of who complies with COVID-19 prevention guidelines.

Development and implementation of a remote patient monitoring program for heart failure: a single-centre experience.

AIMS: Remote patient monitoring (RPM) in the management of heart failure (HF), including telemonitoring, thoracic impedance, implantable pulmonary artery pressure (PAP) monitors, and cardiac implantable electronic device (CIED)-based sensors, has had varying outcomes in single platform studies. Uncertainty remains regarding the development of single-centre RPM programs; additionally, no studies examine the effectiveness of dual platform RPM programs for HF. This study describes the implementation and outcomes of a dual platform RPM program for HF at a single centre. METHODS AND RESULTS: An RPM program was developed to include two platforms (e.g. CardioMEMS™ HF System and HeartLogic™ HF Diagnostic). To examine changes within each participant over time, study-related outcomes including total hospitalizations (TH), total length of stay (TLOS), cardiac hospitalizations (CH), cardiac LOS (CLOS), and cardiac-related emergency department (ED) visits were compared in two timeframes: 12 months pre-enrolment and post-enrolment into RPM. For 141 participants enrolled, there was a significant reduction in the likelihood of experiencing a CH by 19% (0.77 vs. 0.61 events/patient-year; HR: 0.81, 95% CI: 0.67-0.97, P = 0.03) and a cardiac-related ED visit by 28% (0.48 vs. 0.34 events/patient-year; HR: 0.72, 95% CI: 0.55-0.93, P = 0.01). There was also a 51% decrease (SE = 1.41, 95% CI: 2.79-8.38 days, P < 0.001) and 62% decrease (SE = 1.24, 95% CI: 3.35-8.22 days, P < 0.001) in TLOS and CLOS, respectively. CONCLUSIONS: A dual platform RPM program for HF using structured education, RPM-capable devices, and alert-specific medication titration reduces the likelihood of experiencing a cardiac hospitalization and cardiac-related ED visit in this single-centre study.

Acute stress enhances tolerance of uncertainty during decision-making.

Acute stress has been shown to influence reward sensitivity, feedback learning, and risk-taking during decision-making, primarily through activation of the hypothalamic pituitary axis (HPA). However, it is unclear how acute stress affects decision-making among choices that vary in their degree of uncertainty. To address this question, we conducted two experiments in which participants repeatedly chose between two options-a high-uncertainty option that offered highly variable rewards but was advantageous in the long-term, and a low-uncertainty option that offered smaller yet more consistent rewards. The Socially Evaluated Cold Pressor Task (SECPT) was utilized to induce acute stress. Participants in Experiment 1 (N = 114) were exposed to either the SECPT or a warm-water control condition and then completed the decision-making under uncertainty task. Compared to the control condition, those exposed to the acute stress manipulation chose the high-uncertainty option that provided highly variable but larger rewards over the option that provided stable, smaller rewards. Experiment 2 (N = 95) incorporated a salivary cortisol measure. Results replicated the behavioral findings in Experiment 1 and demonstrated that the acute stress manipulation increased salivary cortisol. This work suggests that moderate acute stress is associated with tolerance of outcome variability in contexts that depend on learning to maximize rewards.

Inpatient link to peer recovery coaching: Results from a pilot randomized control trial.

BACKGROUND: Few individuals hospitalized with Substance Use Disorder (SUD) complications participate in recovery support services after discharge. Peer recovery coaching represents one potential new method for promoting recovery. METHODS: A six-month prospective randomized controlled trial compared outcomes between the standard of care and a physician-initiated recovery coaching intervention. The primary outcome measure was engagement in recovery support services, and the secondary outcome measures were substance use frequency and self-reported physical and mental health using the SF-12 survey. Participants (N = 98) were eligible if they were identified by a healthcare provider as having a SUD and were hospitalized due to SUD complications. RESULTS: Engagement rate over the six-month post-discharge time period was higher for participants in the recovery coaching intervention (84 %, 95 % CI: 78%-91%) compared to the standard of care control condition (34 %, 95 % CI: 25 %-44 %), log OR = 28.59, p < .001. No overall group differences in substance use frequency (p = .80), self-reported physical (p = .69) or mental (p = .89) health were observed. CONCLUSION: An inpatient linkage to recovery coaching services improves engagement rates and can feasibly be implemented in a single-center inpatient service. This intervention is promising for promoting both short-term and long-term engagement in recovery support services.

Strive to Win or Not to Lose? Age-Related Differences in Framing Effects on Effort-Based Decision-Making.

OBJECTIVES: This study sought to assess how framing effects modulate age-related differences in effort-based decision-making. Consistent with the selection, optimization, and compensation (SOC) model's loss prevention account of aging, we predicted that older adults would be more willing to select high-effort options in loss contexts than gain contexts. METHOD: Older and younger adults completed the effort expenditure for rewards task (EEfRT) in either a gain or loss context. The EEfRT is an effort-based decision-making paradigm in which participants choose between a low-effort, "easy" option and a high-effort, "hard" option for several trials. The probability and value of an outcome varies on a trial-by-trial basis. RESULTS: The results supported our prediction and the SOC model. Older adults chose more high-effort, difficult options in loss frames than gain frames. Older adults also chose more low-effort, easy options than younger adults in gain contexts, but did not differ from younger adults in loss contexts. DISCUSSION: These findings demonstrate that framing effects impact older adults' effort-based decisions. Older adults appear willing to incur a greater "cost" in the form of effort to prevent a loss than to attain a reward.